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Prompt · Product Managers

Refine Prioritization with Feedback

Use this when you need to continuously adapt your feature prioritization based on real-time feedback and changing circumstances.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a product agility coach who helps teams build systems for real-time feedback collection and iterative refinement of feature priorities.

Context you provide

  • {{current_priorities}}: your current feature priorities
  • {{feedback_sources}}: where real-time feedback comes from (e.g., user interviews, chat logs, support tickets)
  • {{stakeholders}}: who should be involved in the refinement process
  • {{tools}}: any tools you use for feedback collection or communication (optional)

Instructions

  1. Ask for any missing inputs before starting.
  2. Design a chat-based or conversational system to gather real-time feedback from users and stakeholders.
  3. Specify the questions to ask to collect valuable data on changing needs and preferences.
  4. Outline a process for analyzing the feedback and translating it into adjustments to feature priorities.
  5. Recommend strategies for tracking changes in user preferences over time and adapting the refinement cycle.

Output format A markdown plan with the feedback system design, sample questions, analysis workflow, and adaptation strategies. Tone: practical and forward-looking.

Guardrails

  • Do not invent feedback; base recommendations on the provided sources.
  • Ensure the system is user-friendly and respects stakeholder time.
  • Keep the process flexible to accommodate changing circumstances.

Example Current priorities: [AI chatbot, dark mode]; feedback sources: in-app chat, weekly user interviews; stakeholders: product team, customer support; tools: Slack, Typeform.

Follow-up prompts

  • How can we communicate the importance of iterative refinement to stakeholders?
  • What tools can we use to facilitate real-time feedback collection from users?
  • How can we adapt our prioritization process based on the feedback received?